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The Secrets of AI: a Math-Free Guide to Thinking Machines
AI is undoubtedly the most critical technology that we must understand today. It is affecting everyone’s career, business and profession. However, AI is a complex and mysterious technology. To understand it, we have to climb a mountain of cryptic mathematical concepts and formulas, and success may still be elusive.
‘The Secrets of AI’ addresses this and explains AI in a simple, math-free language. This book sidesteps arcane algorithmic details and presents AI from the important perspectives of – intelligence, engineering, design, learnability, trust and business. It provides deep insights into the symbiotic relationships between data, learning and intelligence.
The book has a strong focus on AI engineering. The AI development lifecycle is illustrated with an exhaustive case study on AI-driven live coverage of sports. It includes domain study, model architecture, feature engineering, model training, deployment and feedback learning. The book describes several design patterns and heuristics that are useful for building successful AI-powered systems.
This book reveals invaluable AI success secrets to the founders, architects, engineers, analysts, and program managers.
‘The Secrets of AI’ addresses this and explains AI in a simple, math-free language. This book sidesteps arcane algorithmic details and presents AI from the important perspectives of – intelligence, engineering, design, learnability, trust and business. It provides deep insights into the symbiotic relationships between data, learning and intelligence.
The book has a strong focus on AI engineering. The AI development lifecycle is illustrated with an exhaustive case study on AI-driven live coverage of sports. It includes domain study, model architecture, feature engineering, model training, deployment and feedback learning. The book describes several design patterns and heuristics that are useful for building successful AI-powered systems.
This book reveals invaluable AI success secrets to the founders, architects, engineers, analysts, and program managers.
117 pages, Kindle Edition
Published February 16, 2023
63 people are currently reading
13 people want to read
About the author
Mukesh Borar
2 booksAuthor Page: https://www.amazon.com/stores/Mukesh-...
Book Page - The Secrets of AI: https://www.amazon.com/dp/B0BTMGYC1N
Book Page - The Secrets of AI: https://www.amazon.com/dp/B0BTMGYC1N
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April 10, 2023
The author has done a great job to explain AI simplistically without any reference to Mathematical formulas which can easily put off a novice trying to grasp basic concepts about Machine Learning (ML) as AI can be a complicated & daunting subject when explored for the first time. Moreover the book also provides a case study so it is even useful for those with prior ML knowledge e.g. Solution Architects who want to use ML to solve enterprise problems. For a novice, the content of the book stimulates enough curiosity to further explore the various AI topics on your own. All in all lots of good information while making for an easy reading. Highly recommended.
Displaying 1 of 1 review